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Gemma 3n E2B Instructed LiteRT (Preview) vs Qwen3 32B
Comprehensive side-by-side LLM comparison
Qwen3 32B leads with 59.4% higher average benchmark score. Gemma 3n E2B Instructed LiteRT (Preview) supports multimodal inputs. Qwen3 32B is available on 3 providers. Overall, Qwen3 32B is the stronger choice for coding tasks.
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Gemma 3N E2B IT LiteRT Preview was introduced as an experimental version optimized for LiteRT deployment, designed to push the boundaries of on-device AI. Built to demonstrate the potential of running instruction-tuned models on mobile and edge devices, it represents ongoing efforts to make AI more accessible across hardware platforms.
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Alibaba Cloud / Qwen Team
Qwen3 32B was developed as a dense 32-billion-parameter model in the Qwen3 family, designed to provide strong language understanding without mixture-of-experts complexity. Built for applications requiring straightforward deployment and reliable performance, it serves as a capable mid-to-large-scale foundation model.
21 days newer
Qwen3 32B
Alibaba Cloud / Qwen Team
2025-04-29
Gemma 3n E2B Instructed LiteRT (Preview)
2025-05-20
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Performance Metrics
Context window and performance specifications
Average performance across 2 common benchmarks
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Gemma 3n E2B Instructed LiteRT (Preview)
Average Score:10.0%
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Qwen3 32B
Average Score:69.3%(+59.4%)
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Knowledge Cutoff
Training data recency comparison
Gemma 3n E2B Instructed LiteRT (Preview)
2024-06-01
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
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Gemma 3n E2B Instructed LiteRT (Preview)
0 providers
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Qwen3 32B
3 providers
DeepInfra
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Gemma 3n E2B Instructed LiteRT (Preview)
Avg Score:10.0%
Providers:0
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Qwen3 32B
Avg Score:69.3%(+59.4%)
Providers:3